Central tendency is a statistical measure that identifies a single value as representative of an entire dataset, providing a summary of the data's center point. The most common measures of central tendency are the mean, median, and mode, each offering different insights into the data's distribution and characteristics.

Central Tendency

Central tendency

A statistical measure is a value that represents a characteristic of a dataset, providing insights into its distribution, central tendency, or variability. These measures are essential for summarizing data, making comparisons, and drawing conclusions in research and data analysis.

statistical measure

entire dataset

data's center point

The mean, often referred to as the average, is a measure of central tendency that is calculated by summing all the values in a dataset and dividing by the number of values. It provides a useful summary of the data but can be heavily influenced by outliers, making it less representative in skewed distributions.

mean

The median is a measure of central tendency that represents the middle value in a data set when the values are arranged in order. It is particularly useful for skewed distributions as it is not affected by extreme values, unlike the mean.

median

The mode is a statistical measure that identifies the most frequently occurring value in a data set, providing insight into the data's central tendency. It is especially useful for categorical data and can be used to highlight the most common category or value in a distribution, although it may not always be unique if multiple values occur with the same frequency.

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